Heather Zeiger tells us that traditional aerial combat pilots tend to think the same way when piloting drones from an office but it may be a different story when cell phone addicts, who tend to lack empathy, are recruited. Read More ›

Human life is full of these challenges. Some knowledge simply cannot be conveyed—or understood or accepted—in a propositional form. For example, a nurse counselor may see clearly that her elderly post-operative patient would thrive better in a retirement home. But she cannot just tell him so. Read More ›

When pundits talk glibly of creating artificial minds or claim that consciousness is an illusion, it might help to remember that few predicted cases like this could exist and few thought that high tech diagnostics would lead to their discovery. Read More ›

From James Zou and Londa Ziebinger at Nature: When Google Translate converts news articles written in Spanish into English, phrases referring to women often become ‘he said’ or ‘he wrote’. Software designed to warn people using Nikon cameras when the person they are photographing seems to be blinking tends to interpret Asians as always blinking. Word embedding, a popular algorithm used to process and analyse large amounts of natural-language data, characterizes European American names as pleasant and African American ones as unpleasant. Now where, we wonder, would a mathematical formula have learned that? Maybe it was listening to the wrong instructions back when it was just a tiny bit? Seriously, machine learning, we are told, depends on absorbing datasets of Read More ›

On Tuesday, entrepreneur Ivanka Trump told Wall Street Journal readers, The assembly line, energy plant and retail store have changed dramatically in the past 25 years—and the jobs have, too. Nearly 1 in 5 working Americans has a job that didn’t exist in 1980, many in technology, the fastest-growing segment across all industries. Such rapid change is one reason 6.6 million U.S. jobs are currently unfilled. More. Currently unfilled? We hear so much about how the AI revolution is gobbling industrial era jobs that the shortage of people trained for digital era jobs takes a while to register. Trump goes on to discuss new legislation to address the shortage by providing more relevant education to future jobseekers (paywall). Meanwhile, from the Read More ›

A cornerstone of the development of artificial intelligence is the pervasive assumption that machines can, or will, think. Watson, a question-answering computer, beats the best Jeopardy players, and anyone who plays chess has had the humiliation of being beaten by a chess engine. Does this mean that computers can think as well as (or better than) humans think? Read More ›

Doomsday thinking is easily mocked. The character marching hairy and barefoot under his “End Is Near” sign, is a staple of cartoons in middlebrow mags. Yet when media magnets market doomsday scenarios—like the late Stephen Hawking (“worst event in the history of our civilization”) and Elon Musk (“an immortal dictator from which we would never escape”) — it’s a Cool apocalypse.

Mind Matters features original news and analysis at the intersection of artificial and natural intelligence. Through articles and podcasts, it explores issues, challenges, and controversies relating to human and artificial intelligence from a perspective that values the unique capabilities of human beings. Mind Matters is published by the Walter Bradley Center for Natural and Artificial Intelligence.